Skorokhod Topology and Convergence of Processes

Author(s):  
Jean Jacod ◽  
Albert N. Shiryaev
Keyword(s):  
2021 ◽  
pp. 668-698
Author(s):  
James Davidson

This chapter considers the space D of functions on the unit interval that are continuous on the right and with left limits, known as càdlàg functions. D contains and extends the space C, but is nonseparable under the uniform metric so to work with it calls for new techniques. By defining a new topology for D (the Skorokhod topology), families of measures on D can be constructed and sufficient conditions for weak convergence of partial sum processes specified.


2011 ◽  
Vol 43 (04) ◽  
pp. 1027-1047 ◽  
Author(s):  
O. Hössjer

In this paper we study a general class of population genetic models where the total population is divided into a number of subpopulations or types. Migration between subpopulations is fast. Extending the results of Nordborg and Krone (2002) and Sagitov and Jagers (2005), we prove, as the total population sizeNtends to ∞, weak convergence of the joint ancestry of a given sample of haploid individuals in the Skorokhod topology towards Kingman's coalescent with a constant change of time scalec. Our framework includes age-structured models, geographically structured models, and combinations thereof. We also allow each individual to have offspring in several subpopulations, with general dependency structures between the number of offspring of various types. As a byproduct, explicit expressions for the coalescent effective population sizeN/care obtained.


2012 ◽  
Vol 49 (1) ◽  
pp. 167-183 ◽  
Author(s):  
Boris Baeumer ◽  
Mihály Kovács

We give a simple method to approximate multidimensional exponentially tempered stable processes and show that the approximating process converges in the Skorokhod topology to the tempered process. The approximation is based on the generation of a random angle and a random variable with a lower-dimensional Lévy measure. We then show that if an arbitrarily small normal random variable is added, the marginal densities converge uniformly at an almost linear rate, providing a critical tool to assess the performance of existing particle tracking codes.


2000 ◽  
Vol 111 (3) ◽  
pp. 497-501 ◽  
Author(s):  
Sang Yeol Joo ◽  
Yun Kyong Kim

2020 ◽  
Vol 486 (2) ◽  
pp. 123934
Author(s):  
N.N. Leonenko ◽  
I. Papić ◽  
A. Sikorskii ◽  
N. Šuvak

2016 ◽  
Vol 19 (08) ◽  
pp. 1650044 ◽  
Author(s):  
KARL FRIEDRICH HOFMANN ◽  
THORSTEN SCHULZ

We present a general class of stochastic volatility models with jumps where the stochastic variance process follows a Lévy-driven Ornstein–Uhlenbeck (OU) process and the jumps in the log-price process follow a Lévy process. This financial market model is a true extension of the Barndorff-Nielsen–Shephard (BNS) model class and can establish a weak link between log-price jumps and volatility jumps. Furthermore, we investigate the weak-link [Formula: see text]-OU-BNS model as a special case, where we calculate the characteristic function of the logarithmic price in closed form. The classical [Formula: see text]-OU-BNS model can be obtained as a limit of weak-link [Formula: see text]-OU-BNS models in the Skorokhod topology. We highlight that the weak-link property may be a useful model extension in the case of pricing barrier options.


Author(s):  
B. Gail Ivanoff

AbstractA compensator is defined for a point process in two dimensions. It is shown that a Poisson process is characterized by a continuous deterministic compensator. Sufficient conditions are given for convergence in distribution of a sequence of two-dimensional point processes in the Skorokhod topology to a Poisson process when the corresponding sequence of compensators converges pointwise in probability to a continuous deterministic function.


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